Motivated by applications such as the spread of epidemics and the propagation of influence in social networks, we propose a formal model for analyzing the dynamics of such networ...
Christopher L. Barrett, Harry B. Hunt III, Madhav ...
Communication between a pair of nodes in the network may get disrupted due to failures of links/nodes resulting in zero effective bandwidth between them during the recovery perio...
This workshop promotes ubiquitous computing research in authentic urban setting, with real users and with sufficient scale and time span. We first motivate why such research is im...
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...